Pylabrobot

If you're automating lab workflows with liquid handlers like Hamilton STAR or Opentrons OT-2, this gives Claude direct access to PyLabRobot's API for writing pipetting protocols, managing deck layouts, and controlling plate readers or heater shakers. It's hardware-agnostic Python that works across platforms, and the big win is you can simulate protocols with ChatterboxBackend before running them on physical equipment. The skill covers six main areas from basic aspirate/dispense operations to full resource management with volume tracking. Best for when you need to generate reproducible protocols, integrate multiple lab devices, or translate experimental workflows into executable code without manually looking up API syntax.

skills.sh installs: 238
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill pylabrobot --agent claude-code

Installs into .claude/skills of the current project.

Files

PyLabRobot

Overview

PyLabRobot is a hardware-agnostic, pure Python Software Development Kit for automated and autonomous laboratories. Use this skill to control liquid handling robots, plate readers, pumps, heater shakers, incubators, centrifuges, and other laboratory automation equipment through a unified Python interface that works across platforms (Windows, macOS, Linux).

When to Use This Skill

Use this skill when:

Programming liquid handling robots (Hamilton STAR/STARlet, Opentrons OT-2, Tecan EVO)
Automating laboratory workflows involving pipetting, sample preparation, or analytical measurements
Managing deck layouts and laboratory resources (plates, tips, containers, troughs)
Integrating multiple lab devices (liquid handlers, plate readers, heater shakers, pumps)
Creating reproducible laboratory protocols with state management
Simulating protocols before running on physical hardware
Reading plates using BMG CLARIOstar or other supported plate readers
Controlling temperature, shaking, centrifugation, or other material handling operations
Working with laboratory automation in Python